

Responsibilities:
• Develop computer vision systems for enterprises to be used by hundreds of our
customers
• Enhance existing Computer vision systems to achieve high performance
• Prototype new algorithms rapidly, iterating to achieve high levels of performance
• Package these prototypes as robust models written in production level code to be
integrated into the product
• Work closely with the ML engineers to explore and enhance new product features
leading to new areas of business
Requirements:
Strong understanding of linear algebra, optimisation, probability, statistics
• Experience in the data science methodology from exploratory data analysis, feature
engineering, model selection, deployment of the model at scale and model evaluation
• Background in machine learning with experience in large scale training and
convolutional neural networks
• Deep understanding of evaluation metrics for different computer vision tasks
• Knowledge of common architectures for various computer vision tasks like object
detection, recognition, and semantic segmentation
• Experience with model quantization is a plus
• Experience with Python Web Framework (Django/Flask/FastAPI), Machine Learning
frameworks like Tensorflow/Keras/Pytorch

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Azure Chatbot Developer
Location :Bangalore / Mumbai / Pune
Job Description
Build and maintain bots on Azure platform. Integration with Active directory, WEB API based integration with external systems. Training and Integrate bots as per users’ requirements. Work in line with design guidelines, best practices and standards of bot deliverable. Creative approach to the conversation flow design, human aspects in the bot responses and sentiments
Qualifications
a) 5 years of experience in software development with clear understanding of the project life cycle
b) Min 2-3 years of hands-on experience in Microsoft Azure Bot Framework, LUIS and other Cognitive services offered by Azure
c) Hands on experience with Machine Learning based chat bots
d) Experience with Azure bot services like Text Analytics etc.
e)Strong database skills and hands-on experience on databases like SQL Server/Oracle
f) Strong experience on Azure Active directory and adaptive cards integration in Chat bot.
g) Strong experience designing and working with
with service-oriented architectures (SOA) and WebAPIs.
h) A strong experience on Microsoft Azure, ASPNET / MVC and programming languages such as C#/VBNET
i) Knowledge of Python and NodeJS is a plus
j) Ability to design and optimize SQL Server 2008 stored procedures.
k) Experience with JQuery, CSS3, HTML5 or similar technologies.
l) Ability to adapt quickly to an existing, complex environment.


Must have:
- 8+ years of experience with a significant focus on developing, deploying & supporting AI solutions in production environments.
- Proven experience in building enterprise software products for B2B businesses, particularly in the supply chain domain.
- Good understanding of Generics, OOPs concepts & Design Patterns
- Solid engineering and coding skills. Ability to write high-performance production quality code in Python
- Proficiency with ML libraries and frameworks (e.g., Pandas, TensorFlow, PyTorch, scikit-learn).
- Strong expertise in time series forecasting using stat, ML, DL and foundation models
- Experience of working on processing time series data employing techniques such as decomposition, clustering, outlier detection & treatment
- Exposure to generative AI models and agent architectures on platforms such as AWS Bedrock, Crew AI, Mosaic/Databricks, Azure
- Experience of working with modern data architectures, including data lakes and data warehouses, having leveraged one or more of the frameworks such as Airbyte, Airflow, Dagster, AWS Glue, Snowflake,, DBT
- Hands-on experience with cloud platforms (e.g., AWS, Azure, GCP) and deploying ML models in cloud environments.
- Excellent problem-solving skills and the ability to work independently as well as in a collaborative team environment.
- Effective communication skills, with the ability to convey complex technical concepts to non-technical stakeholders
Good To Have:
- Experience with MLOps tools and practices for continuous integration and deployment of ML models.
- Has familiarity with deploying applications on Kubernetes
- Knowledge of supply chain management principles and challenges.
- A Master's or Ph.D. in Computer Science, Machine Learning, Data Science, or a related field is preferred



- Experience building and managing large scale data/analytics systems.
- Have a strong grasp of CS fundamentals and excellent problem solving abilities. Have a good
understanding of software design principles and architectural best practices.
- Be passionate about writing code and have experience coding in multiple languages, including at least
one scripting language, preferably Python.
- Be able to argue convincingly why feature X of language Y rocks/sucks, or why a certain design decision
is right/wrong, and so on.
- Be a self-starter—someone who thrives in fast paced environments with minimal ‘management’.
- Have exposure and working knowledge in AI environment with Machine learning experience
- Have experience working with multiple storage and indexing technologies such as MySQL, Redis,
MongoDB, Cassandra, Elastic.
- Good knowledge (including internals) of messaging systems such as Kafka and RabbitMQ.
- Use the command line like a pro. Be proficient in Git and other essential software development tools.
- Working knowledge of large-scale computational models such as MapReduce and Spark is a bonus.
- Exposure to one or more centralized logging, monitoring, and instrumentation tools, such as Kibana,
Graylog, StatsD, Datadog etc


- Work on a chatbot framework/architecture using an open-source tool or library
- Implement Natural Language Processing (NLP) for chatbots
- Integration of chatbots with Management Dashboards and CRMs
- Resolve complex technical design issues by analyzing the logs, debugging code, and identifying technical issues/challenges/bugs in the process
- Deploy applications using CI/CD tools
- Designing and building highly scalable AI and ML solutions
- Ability to understand business requirements and translate them into technical requirements
- Open-minded, flexible, and willing to adapt to changing situations
- Ability to work independently as well as on a team and learn from colleagues
- High adaptability in a dynamic start-up environment.
- Experience with bot multi-lingual utilization (preferred)
- Experience with bot human escalation
- Ability to optimize applications for maximum speed and scalability
- Come up with new approaches and ideas to improve the current performance of Chatbots across multiple domains and build a highly personalized user experience.
QUALIFICATIONS : B. Tech/ B.E. /M. Tech or a related technical discipline from reputed universities
SKILLS REQUIRED :
- Minimum 3+ years- of experience in Chatbot Development using the Rasa open-source framework.
- Hands-on experience building and deploying chatbots.
- Experience in Conversational AI platforms for enterprises using ML and Deep Learning.
- Experience with both text to speech and vice versa transformation incorporation.
- Should have a good understanding of various Chatbot frameworks/platforms/libraries.
- Build and evolve/train the NLP platform from natural language text data being gathered from users on a daily basis.
- Code using primarily Python.
- Experience with bots for platforms like Facebook Messenger, Slack, Twitter, WhatsApp, etc.
- Knowledge of digital assistants such as Amazon Alexa, Google Assistant, etc.
- Experience in applying different NLP techniques to problems such as text. classification, text summarization, question & answering, information retrieval, knowledge extraction, and conversational bots design potentially with both traditional & Deep Learning
- Techniques - NLP Skills/Tools: NLP, HMM, MEMM, P/LSA, CRF, LDA, Semantic Hashing, Word2Vec, Seq2Seq, spaCy, Nltk, Gensim, Core NLP, NLU, NLG, etc.
- Should be familiar with these terms: Tokenization, N-Grams, Stemmers, lemmatization, Part of speech tagging, entity resolution, ontology, lexicology, phonetics, intents, entities, and context.
- Knowledge of SQL and NoSQL Databases such as MySQL, MongoDB, Cassandra, Redis, PostgreSQL
- Experience with working on public cloud services such as Digital Ocean, AWS, Azure, or GCP.
- Knowledge of Linux shell commands.
- Integration with Chat/Social software like Facebook Messenger, Twitter, SMS.
- Integration with Enterprise systems like Microsoft Dynamics CRM, Salesforce, Zendesk, Zoho, etc.
MUST HAVE :
- Strong foundation in the python programming language.
- Experience with various chatbot frameworks especially Rasa and Dialogflow.
- Strong understanding of other AI tools and applications like TensorFlow, Spacy, and Google Cloud ML is a BIG plus.
- Experience with RESTful services.
- Good understanding of HTTPS and Enterprise security.

Your responsibilities as a backend engineer will include:
- Back-end software development
- Software engineering and designing data models and write effective APIs
- Working together with engineers and product teams
- Understanding business use cases and requirements for different internal teams
- Maintenance of existing projects and New feature development
- Consume and integrate classifier/ ML snippets from Data science team
What we are looking for:
- 2+ years of industry experience with the Python and Django framework.
- Degree in Computer Science or related field
- Good analytical skills with strong fundamentals of data structures and algorithms
- Experience building backend services with hands-on experience through all stages of Agile software development life cycle.
- Ability to write optimized codes,debug programs, and integrate applications with third party tools by developing various APIs
- Experience with Databases.
- Experience with writing REST-APIs.
- Prototyping initial collection and leveraging existing tools and/or creating new tools
- Experience working different types of datasets (e.g. unstructured, semi-structured, with missing information)
- Ability to think critically and creatively in a dynamic environment, while picking up new tools and domain knowledge along the way
- A positive attitude, and a growth mindset
Bonus:
- Experience with relevant Python libraries such as Requests, sklearn, Selenium
- Hands on experience in Machine learning implementations
- Experience with Cloud infrastructure (e.g. AWS) and relevant microservices
- Good Humor
Note- We are currently working from home due to the pandemic. If selected you may work from a remote location though once office reopens candidate must work from Office.


Develop state of the art algorithms in the fields of Computer Vision, Machine Learning and Deep Learning.
Provide software specifications and production code on time to meet project milestones Qualifications
BE or Master with 3+ years of experience
Must have Prior knowledge and experience in Image processing and Video processing • Should have knowledge of object detection and recognition
Must have experience in feature extraction, segmentation and classification of the image
Face detection, alignment, recognition, tracking & attribute recognition
Excellent Understanding and project/job experience in Machine learning, particularly in areas of Deep Learning – CNN, RNN, TENSORFLOW, KERAS etc.
Real world expertise in deep learning- applied to Computer Vision problems • Strong foundation in Mathematics
Strong development skills in Python
Must have worked upon Vision and deep learning libraries and frameworks such as Opencv, Tensorflow, Pytorch, keras
Quick learner of new technologies
Ability to work independently as well as part of a team
Knowledge of working closely with Version Control(GIT)
Job description:
Amazon’s Worldwide Consumer Engagement organization brings customers to visit amazon websites, engage them on site and help them purchase from Amazon’s retail sites. This is achieved through highly personalized messages delivered via all available large scale communication channels—both free and paid and offering engaging experience on website. The organization builds, operates, and improves the technology systems that power all marketing channels, and manages prioritization and marketing spend decisions. Consumer Marketing consists of a series of single-threaded technology and business teams, each of which owns the entirety of a channel of communication or customer segment: natural and paid search (i.e. SEO and SEM), affiliate marketing (Associates), display advertising, email, browser integration, and mobile marketing, retail customer experience technology teams.
This position is for a technology leader in Affiliate Marketing Technology group for attribution team. This team owns business critical systems that are responsible for attributing traffic to marketing channels and thrives on innovation to provide rich analytics to its internal and external customers. As a leader on the team, you will be responsible for tier1 critical systems, guide your team through the design, development, testing, and deployment of a range of products involving big data processing and dealing with near real time SLAs. You will have to deal with challenges of high availability (five 9s) guarantee, low latency and high throughput. In addition, you will build and manage roadmaps for software teams, developing cutting edge experiences. You will have sound technical acumen, excellent project management skills, great communication skills, and hire, build, and develop your team. You are a true owner - you are deeply interested in product design, architecture, and you innovate relentlessly on behalf of our customers.
This position offers the opportunity to collaborate with our business teams across the world and other tech teams in Bangalore as we raise the bar in delivering innovation.
Primary responsibilities:
- Provide technical expertise and leadership throughout product life cycles, influence software engineers best practices for your team and own operational metrics
- Work with business leaders and product managers to define product requirements.
- Prioritize, communicate, maintain, and execute roadmaps, project plans, and commitments
- Work with engineers to define technical requirements and architect and execute best-in-class implementations in agile manner
- Build and maintain world-class customer experience and operational excellence for your deliverables
- Hire, manage, mentor and grow a high performance team of Software Engineers
Basic Qualifications:
- Bachelors/Masters degree in Computer Science or related field
- 10+ years professional experience in software development management
- Proficiency in, at least, one modern programming language such as Java, Scala, C#, C++ etc
- Ability to solve complex technical problems and design robust, scalable solutions
- Ability to think critically and actively contribute to strategic choices.
- 3+ years experience in managing development teams working on multiple simultaneous projects.
- 3+ years experience in managing large scale software development teams following Agile development processes.
- Strong skills in project planning & execution, problem solving. Ability to take a project from initial scoping requirements through actual launch and support of the project
- Proven leadership and teamwork skills
- Excellent verbal and written communication skills in both technical and non-technical discussions.
Preferred Qualifications:
- Deep, hands-on technical expertise in high scale, service-oriented architectures
- Exposure to Elastic Map Reduce and Machine Learning programs.
- Ability to handle multiple competing priorities in a fast-paced environment
- Knowledge of professional software engineering practices & best practices for the full software development life cycle including coding standards, code reviews, source control management, build processes, testing, and operations
- Clear, professional communication skills able to contribute to team discussions, knowing when to contribute, when to listen, and when to ask questions
- Proactively and continually improve their level of knowledge about Amazon’s business and relevant technologies, and use this knowledge to deliver high quality, accurate software deliverables
- Strong business and technical vision
- Good understanding of web services


- 6+ years of experience in software design, development and deployment
- Must have extensive experience in architecture, design and development on .NET framework, C#, WPF
- Must have experience of relational database such as My SQL and MS SQL Server
- Must have experience in Web Services, SOAP, TCP
- Must have excellent experience in debugging, Problem Solving and root cause analysis
- Must have experience on writing Nunit test cases
- Exposure to new tech stacks: AI, ML, BigData, Cloud, Broker Engine, Rule Engine, Report Builder
- Strong exposure to Mean Stacks (Mongo, Express, Angular, Node and React for simple and scalable full stack applications)
- Should have good experience of creating designs & design patterns.
- Lead and Mentor the team technically





